Yazar "Şahin, Utkucan" için listeleme
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Comparison between Artificial Neural Network model and mathematical models for drying kinetics of osmotically dehydrated and fresh figs under open sun drying
Şahin, Utkucan; Öztürk, Harun K. (Wiley, 2018)In this study, drying kinetics of figs (Ficus carica L) under open sun drying (OSD) was compared with using Artificial Neural Network (ANN) model and mathematical models. Pulsed vacuum osmotic dehydration (PVOD) was applied ... -
Effects of pulsed vacuum osmotic dehydration (PVOD) on drying kinetics of figs (Ficus carica L)
Şahin, Utkucan; Özturk, Harun Kemal (Elsevier Sci Ltd, 2016)Drying kinetics of non-pretreated (fresh) and pretreated Sardop (Ficus carica L.) variety figs were compared. In experiments, figs were performed as a whole (unsliced and unpeeled). Pretreatment was pulsed vacuum osmotic ... -
Forecasting of Turkey's electricity generation and CO2 emissions in estimating capacity factor
Şahin, Utkucan (Wiley, 2019)In this study, Turkey's electricity generation between 2017 and 2021 is forecasted. To achieve this, past data of capacity factor of thermal, hydro, geothermal, wind, and solar power plants from 2006 to 2016 is correlated ... -
Forecasting of Turkey's greenhouse gas emissions using linear and nonlinear rolling metabolic grey model based on optimization
Şahin, Utkucan (Elsevier Sci Ltd, 2019)This study aims to contribute to the development of energy policies for Turkey's greenhouse gas (GHG) emissions in the future. For this purpose, linear and nonlinear metabolic grey models are combined with the optimization ... -
Forecasting seasonal electricity generation in European countries under Covid-19-induced lockdown using fractional grey prediction models and machine learning methods
Şahin, Utkucan; Ballı, Serkan; Chen, Yan (Elsevier Ltd, 2021)Balances in the energy sector have changed since the implementation of the Covid-19 pandemic lockdown in Europe. This paper analyses how the lockdown affected electricity generation in European countries and how it will ... -
Forecasting share of renewables in primary energy consumption and CO2 emissions of China and the United States under Covid-19 pandemic using a novel fractional nonlinear grey model
Şahin, Utkucan (Elsevier Ltd, 2022)China and the United States (U.S.) are in the first two places among the countries that consume the most primary energy and emit CO2 emissions in the world. Considering the Sustainable Development Goal 7.2 and Paris ... -
Forecasting the cumulative number of confirmed cases of COVID-19 in Italy, UK and USA using fractional nonlinear grey Bernoulli model
Şahin, Utkucan; Şahin, Tezcan (Pergamon-Elsevier Science Ltd, 2020)Since the new coronavirus (COVID-19) outbreak spread from China to other countries, it has been a curiosity for how and how long the number of cases will increase. This study aims to forecast the number of confirmed cases ... -
Forecastıng of Turkey’s Electrıcıty Generatıon And Consumptıon Wıth Grey Predıctıon Method
Şahin, Utkucan (2018)The aim of this study is forecasting of Turkey’s electricity generation and consumption for the period 2017-2027. To achieve this, Turkey’s electricity generation and consumption for the period 1996-2016 was modelled using ... -
Future of renewable energy consumption in France, Germany, Italy, Spain, Turkey and UK by 2030 using optimized fractional nonlinear grey Bernoulli model
Şahin, Utkucan (Elsevier B.V., 2021)In this study, gross final energy consumption (GFEC), energy consumption of renewable energy sources (RES) and its share in France, Germany, Italy, Spain, Turkey and the United Kingdom (UK) are forecasted by 2030. A novel ... -
Projections of Turkey's electricity generation and installed capacity from total renewable and hydro energy using fractional nonlinear grey Bernoulli model and its reduced forms
Şahin, Utkucan (Elsevier, 2020)In this study, forecasting of Turkey's total renewable and hydro energy installed capacity and electricity generation from 2019 to 2030 was investigated. For this purpose, fractional nonlinear grey Bernoulli model, briefly ...
